Data Structure Design is the academic discipline within algorithmic design that focuses on the systematic creation and organization of data representations to optimize algorithmic efficiency, correctness, and resource usage in computational processes.
507
Publications
48.8K
Citations
954
Authors
370
Institutions
Publications per year
2017–2026
39
Publications
507
A Nonlinear Mapping for Data Structure Analysis
John W. Sammon · IEEE Transactions on Computers · 1969 · 3.4K citations
Data Structures and Algorithms
Niklaus Wirth · Scientific American · 1984 · 1.4K citations
1–5 of 507
Authors
954
- RE
6
h-index
- PZ
5
h-index
- ME
5
h-index
- DN
5
h-index
- HA
4
h-index
1–5 of 954
Institutions
370
Carnegie Mellon University
Pittsburgh, United States
10 h-index
16 publications
1.7K citations
University of Waterloo
Waterloo, Canada
9 h-index
13 publications
301 citations
University of Michigan
Ann Arbor, United States
8 h-index
13 publications
978 citations
IBM (United States)
Armonk, United States
8 h-index
14 publications
2.3K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
16 publications
803 citations
Stanford University
Stanford, United States
7 h-index
10 publications
638 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
7 h-index
10 publications
324 citations
Université Paris-Sud
Orsay, France
6 h-index
10 publications
785 citations
1–8 of 370
Venues
- Communications of the ACM
29 publications · 2.8K citations
22
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- Very Large Data Bases
Conference · 10 publications · 524 citations
10
h-index
- Acta Informatica
9 publications · 1.5K citations
9
h-index
- Information Systems
9 publications · 394 citations
9
h-index
- IEEE Transactions on Computers
8 publications · 3.6K citations
8
h-index
1–5